A protocol for rapid evidence synthesis into soil loosening as an intervention to ameliorate
compaction caused by dairy farming and the impacts of this for productivity and
sustainability
Kendall, H1., Taylor, A. E2., Reed, M1. Stewart, G1
1 School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU.
2 Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK
Corresponding authors: Helen Kendall; [email protected]
Abstract
This is a protocol for a rapid review of the effectiveness of soil loosening to ameliorate
compaction caused by cattle treading from dairy production on UK dairy farms. The review
will synthesize relevant literature that explores the impacts that can be derived from
mechanical soil loosening for improved soil quality, productivity (i.e. yield) and the
environment. The protocol outlines the rationale, objectives, inclusion criteria, search
strategy and screening processes for the meta-analysis, and the plans for data extraction, risk
of bias and data synthesis approaches.
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27180v1 | CC BY 4.0 Open Access | rec: 7 Sep 2018, publ: 7 Sep 2018
1. Protocol
1.1 Introduction Soil compaction is significant cause of soil degradation globally (Drewry and Paton, 2000, FAO,
2015, Smith et al., 2013, Wentworth, 2015) Compaction results in the underlying soil structure
being unable to withstand the pressures applied to it. Compression leads to coarsening of the
soil, loss of the structural units of the soil, decrease in soil volume (erosion), an increase in
bulk density, decrease in porosity and a reduction in the hydraulic capacity of the soil (NFU,
2016, DEFRA, 2008, Newell-Price et al., 2013). Soil structures and quality vary according to
soil type (i.e. clay, sand, silt, loams and peat) and location with varying levels of susceptibility
to compaction damage (Bezuidenhout, 2010, Drewry, 2006, DEFRA, 2008, Wentworth, 2015,
Drewry et al., 2004, Newell-Price et al., 2013). The macroporosity of soil (the volume of pores)
is used by experts as an indicator of soil compaction. In arable land compaction and the
reduction of soil macroporsity (below 10%) represent poor aeration and results in cultivation
difficulties as a result of restricted water and nutrient delivery, and reduced earthworm
abundance (Drewry and Paton, 2000, Chan and Barchia, 2007) that are difficult, time
consuming and expensive to remedy (Bezuidenhout, 2010). In terms of empirical research, a
greater body of research has explored the causes and consequences of soil compaction on
arable soils rather than grasslands and much of the research conducted to-date originates
from New Zealand, Australia and the US (Drewry and Paton, 2000, Singleton and Addison,
1999, Clark et al., 2007, Greenwood et al., 1997, Naeth et al., 1990, Chan and Barchia, 2007)
with limited research conducted in a UK context (DEFRA, 2008). Within this body of literature,
key causes of soil compaction in agricultural production are related to farm machinery and
cattle grazing, where the weight of soil machinery and cattle compress the soil ((DEFRA, 2008,
Newell-Price et al., 2013).
Cattle grazing is central to dairy production and dairy farming is identified to be one of the
most significant contributors to soil compaction ((DEFRA, 2008, Newell-Price et al., 2013). The
cumulative impact of cattle treading on soil compaction rates has been well documented and
is recognised to cause the most visual and structural damage to soil surfaces (0-10 cm depths
(DEFRA, 2008) (see inter alia ((Drewry and Paton, 2000, Singleton and Addison, 1999, DEFRA,
2008, Wentworth, 2015). Sustained grazing and trampling of the soil by cattle results in
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27180v1 | CC BY 4.0 Open Access | rec: 7 Sep 2018, publ: 7 Sep 2018
surface damage with less damage occurring at deeper soil levels. In the UK, the average time
that cattle spend grazing has increased over recent years from 7 months in 2006 to
approximately 9 months in 2010. Change has been underpinned by increasing feed prices and
the availability of early/late season grass and clover species and the increasing trend for out-
wintering cattle (Newell-Price et al., 2013). Soils vulnerability to structural damage caused as
a result of cattle trampling is subject to seasonal variations and is most susceptible during the
spring and autumn periods although, predisposed soils can also become more exposed at
times of high average rainfall when structural damage to the soil termed “pugging” or
“poaching” can result (DEFRA, 2008).
When animal hooves penetrate the surface of soils “poaching” occurs, this can arise across
fields although is often most pronounced around high-traffic areas within fields (i.e. around
feeding and water trays). Both cattle and sheep grazing can cause poaching that results in soil
compaction, although this occurs at greater intensity as a result of cattle grazing owing to the
increased pressures (kilopascal (kPa)) of cattle hooves, the volume of which differs between
static positions and when livestock is moving (Bilotta et al., 2007). To illustrate the impact of
cattle grazing it is useful to compare this to the impacts of sheep grazing. Sheep exert
approximately 80kPa which increases to 200kPa when moving. However, when static the
pressure exerted by cattle ranges from 160-192kPa, when in motion this more than doubles
(DEFRA, 2008).
Pugging occurs in wet conditions when soil pores fill with water significantly reducing the
macroporosity of soil. When cattle graze on saturated soil the soil structure can homogenise,
visually this results in lumpy and irregular surface and in extreme cases can result in slurry
(Parkes and Faulkner, 2013). Reduced macroporosity as a result of pugging has been show to
negatively affect plant production and the profitability as well as the sustainability of pastoral
farms (Burgess et al., 2000). Monitoring of soil compaction on dairy farms in New Zealand has
shown that a macroporosity value of <10% is likely to limit pasture production and in severe
cases could reduce this reduce production by 40-80%. Sever pugging events occurs most
during winter when block grazing occurs and cows are not being milked and soil recovery is
less effective than in spring and summer months (Parkes and Faulkner, 2013, Drewry et al.,
2004). Stocking density (i.e. the number of cows grazing) per hectare, is shown to be further
compounding factor in compaction rates, with increased cattle numbers shown to have a
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27180v1 | CC BY 4.0 Open Access | rec: 7 Sep 2018, publ: 7 Sep 2018
positive relationship with soil compaction (Greenwood et al., 1997, DEFRA, 2008, Naeth et al.,
1990).
Despite a plethora of studies that have illustrated the detrimental effect on soil of cattle
treading, there is limited research that has been conducted to explore ways in which the
impact of this might be ameliorated (Burgess et al., 2000). Modifications to agronomic
practice are such as amendments to grazing management frequency and timing are thought
to minimise compaction ((Greenwood et al., 1997, Parkes and Faulkner, 2013, Drewry et al.,
2004). Restorative measures of which mechanical soil loosening is an example, have been
studied less widely. Mechanical loosening of the soil in order to break up compacted soils is a
strategy for the amelioration of soils that have been degraded as a result of cattle treading.
In a study conducted on two New Zealand dairy farms, Burgess et al. (2000)found that when
compared to non-aerated soils, mechanical loosening was advantageous in that it increased
macroporosity and total porosity and hydraulic conductivity as well as reducing water
penetration resistance the degree of packing and bulk density and improved conditions for
plant root growth. Reversion of the benefits of aeration occurred in the sample site after 40
weeks and therefore the research illustrated the need for this action to be repeated annually.
Such interventions that are designed to reduce compaction and increase soil quality deliver
direct economic benefits to farmers as well more widely to the rural communities in which
they are embedded, as well as society as a whole through improved food quality and
availability. Such practices also deliver wider conservation benefits through the delivery of
additional ecosystem services, including improved responsiveness to flooding events,
increased biodiversity and carbon and nitrogen regulation.
1.2 Need for the review This rapid evidence review aims to explore the impacts of mechanical soil loosening to
ameliorate soil compaction as an intervention to improve 1) productivity and 2) sustainability
in UK dairy farming. A number of studies have indicated the effectiveness of mechanical soil
loosening as a restorative intervention against soil compaction, caused by large ruminant
grazing including dairy production (Drewry and Paton, 2000, Burgess et al., 2000). Soil is a
fundamental eco-system services, protecting it and restoring it where degradation has
occurred has potential to ensure the productivity and sustainability of UK dairy farming.
However, there has been no formalised evaluation of the extant body of literature and the
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27180v1 | CC BY 4.0 Open Access | rec: 7 Sep 2018, publ: 7 Sep 2018
strength of evidence of the effectiveness of mechanical soil loosening for improved dairy farm
productivity and sustainability has not been assessed.
This rapid evidence review will therefore, make a number of substantive contributions; to the
best of the authors knowledge this is the first time that published evidence of the
effectiveness of this intervention for improving soil quality has been synthesised. From a
policy perspective this will formalise the evidence base upon which decisions regarding the
promotion of mechanical soil loosening as an ‘Payment for Ecosystem Services’ intervention,
can be made. From an academic perspective evidence synthesis supports the identification of
knowledge gaps and helps to direct future research agendas.
2 Objectives
2.1 Primary objective: To evaluate the effectiveness of mechanical soil loosening to ameliorate soil compaction
caused by cattle grazing in diary production systems and the impacts of this intervention for;
1) Improved productivity (yield) and sustainability (i.e. improved soil quality and
biodiversity) of dairy farming.
2.2 Secondary objective: A number of secondary outcomes will also be examined and will be used to explore the
reasons for heterogeneity in the primary outcomes of the study. These include the impacts of
the following on the effectiveness of mechanical soil loosening;
x Soil type
x Herd size/stock density
x Compaction depth
x Soil saturation
x Seasonality/weather conditions
x Grazing management system
x Intervention frequency
2.3 Tertiary outcome: 1) Measurements of the economic impact of soil loosening by mechanical means
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27180v1 | CC BY 4.0 Open Access | rec: 7 Sep 2018, publ: 7 Sep 2018
3 Criteria for considering studies for the review Studies obtained from the search will be selected based on the eligibility criteria outlined in
Table 1, any studies not meeting the inclusion criteria will be excluded. These are outlined in
more detail in the subsequent sections and are based on the PICO (population, intervention,
comparator, outcome) format.
Table 1: Inclusion/exclusion criteria
Inclusion criteria Exclusion criteria
Empirical (quantitative) studies conducted
between 1986-2018 in English language.
A non-empirical study i.e. review article or
posters or abstracts that were not followed
up by full publication, a non-English
language study or published prior to 1986.
studies with a comparator (i.e. adoption
versus non-adoption or a before/after
temporal comparison)
Studies without a comparative component.
Report on the impacts of compaction caused
by cattle treading of farm machinery
Report on the impacts of compaction not
caused by animal treading or farm
machinery
Report on impacts of soil loosening for
productivity and/or sustainability in
temperate grassland systems
Report on the impacts of soil loosening in
non-temperate grass land systems
Studies that examine methods or refine
tools for soil compaction alleviation
Studies must include sample size and mean
values to facilitate effect size generation.
Studies that do not report sample size and
mean values to enable effect size
generation.
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27180v1 | CC BY 4.0 Open Access | rec: 7 Sep 2018, publ: 7 Sep 2018
3.1 Searches: Web of Science will be searched as well as Google Scholar in order to identify any grey
literature. Searches will cover all studies published over the past 32 years. Firstly, reference
lists of retrieved studies and reviews will be checked for additional studies not returned from
the initial searches. Secondly, key authors/organisations in the field will be consulted to check
for any unpublished findings and additional sources of information (Green and Higgins, 2005).
3.2 Search strategy: Search terms will be refined after trial searches are conducted, tailored to each database, to
balance sensitivity and specificity. The search strategies will be reported in an appendix in the
final review. The following search terms will be used. All search terms will be included in the
topic, keyword, title and abstract sections of each individual database searched and used in
conjunction with the Boolean operator AND as highlighted. Keywords in relation to the
comparator were not used as they were too generic and risk returning irrelevant papers.
The following search terms will be trailed:
(livestock OR cattle OR ruminant) AND ((Soil compaction) OR pugging OR poaching OR
treading) AND ((Soil loosening) OR (mechanical soil loosening) OR subsoiling) AND
(productivity OR yield OR sustainability OR (soil quality) OR macroporosity OR (bulk density)
OR (hydraulic conductivity) OR (plant root growth))
3.3 Domain of Study: A number of studies have indicated the effectiveness of mechanical soil loosening as a
restorative intervention against soil compaction, caused by large ruminant grazing including
dairy production (Burgess et al., 2000, Drewry and Paton, 2000) Soil is a fundamental eco-
system services, protecting it and restoring it where degradation has occurred has potential
to ensure the productivity and sustainability of UK dairy farming. However, there has been no
formalised evaluation of the extant body of literature and the strength of evidence of the
effectiveness of mechanical soil loosening for improved dairy farm productivity and
sustainability has not been assessed.
This rapid evidence review will therefore, make a number of substantive contributions; to the
best of the authors knowledge this is the first time that published evidence of the
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27180v1 | CC BY 4.0 Open Access | rec: 7 Sep 2018, publ: 7 Sep 2018
effectiveness of this intervention for improving soil quality has been synthesised. From a
policy perspective this will formalise the evidence base upon which decisions regarding the
promotion of mechanical soil loosening as an PES intervention, can be made. From an
academic perspective evidence synthesis supports the identification of knowledge gaps and
helps to direct future research agendas
3.4 Participants/population: Studies conducted in any geographical region that assess the impact of mechanical soil
loosening as a method for the amelioration of soil compaction caused by cattle treading and
impacts of this for productivity and sustainability within temporal grassland systems.
3.5 Intervention(s)/exposure(s); Any studies that have adopted mechanical soil loosening as an intervention to ameliorate soil
compaction caused by cattle treading and the impacts of this for productivity within temporal
grassland systems.
3.6 Comparator(s)/control: Studies will be included on the basis that they report on 1) adoption versus non-adoption
and/or 2) temporal comparisons (i.e. before and after).
4 Method of the Review
4.1 Data extraction: All search results will be exported into an EndNote library, with duplicates being removed
before results are sifted according to the inclusion and exclusion criteria outlined in Table 1.
An overview of the search process will be included in a PRISMA flow chart (Moher et al., 2009).
The returned search results will then be filtered in a two -stage process as follows:
Stage 1) Title and abstract screening: In addition to the full title the abstract of these
studies will also be read so as to minimise the risk of error (Green and Higgins, 2005).
HK will review all studies, with a subset of at least 10% independently assessed by two
reviewers (HK and AT). Any differences between the two researchers will be reported
and resolved through discussion.
Stage 2) Full text screening: the full text of all included studies will be read and
assessed for relevance by the primary researcher (HK)A subset of at least 10% cross
PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27180v1 | CC BY 4.0 Open Access | rec: 7 Sep 2018, publ: 7 Sep 2018
checked between two reviewers (HK and AT). Any differences in decisions related to
study eligibility will be recorded and discussed by the review authors.
4.2 Risk of bias (quality) assessment The validity and the impact of bias will be addressed by use of a critical appraisal document(s)
that examines a number of quality criteria which have the potential to impact on the results
of the study. Critical assessment will consider the construct validity, internal validity and
reliability of included studies, as described by Yin (2009).
The quality appraisal tool will be modified from the Newcastle-Ottowa scale (NOS) to provide
a checklist that meets the emerging requirements of the review and suitable quality
assessment of non-medical research literature. (Green and Higgins, 2005), Campbell
Collaboration (2001) guidelines and the Centre for Reviews and Disseminations (2009) advice,
to provide a document not based in a healthcare context. The critical appraisal tool will be
finalised prior to data extraction.
No studies will be excluded based on the quality assessment tool, but the findings will be
taken into account during the evidence synthesis as part of the Grading of Recommendations,
Assessment, Development and Evaluation (GRADE) framework, (Meader et al., 2014) which
will assess the overall of strength of evidence, and may inform sensitivity analysis. Any
differences in decisions related to study quality will be discussed by the review authors
4.3 Strategy for data synthesis A data extraction form will be used to extract data from all included studies (excel), and this
will be finalised as the nature of the data becomes apparent. The finalised data extraction
form will be trialled, to check that all relevant information is extracted. A template of the final
form will be attached to the final review,
All data will be extracted by the primary researcher (HK), a subset of at least 10% of the
included studies will be checked independently by a second reviewer (AT), again to check for
potential errors. Where information is missing efforts will be made to contact the authors to
obtain further details (Green and Higgins, 2005).
An overview of all included studies will be provided in an appendix. Descriptive statistics, such
as a summary of the study characteristics, will first be presented in the results. Synthesis of
the data will depend on the nature of the included studies.
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If we have a sufficient number of high quality studies a random effects meta-analysis will be
carried out using (standardized) mean difference. In order to do this, we will collect data on
means, standard deviations, and the number of replicates. Sensitivity analyses will be
performed to explore the risk of bias and a funnel plot will be used to detect potential
publication bias. If we do not have a sufficient number of high quality studies, we will use the
diverse set of literature in order to identify and evaluate reported outcomes.
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